Implementation Summary - Smart Collaboration Thumbnails
What We Built ✅
You now have a fully functional AI-powered collaboration thumbnail generator that can be called from HuggingChat!
Key Features
🔍 Automatic Logo Fetching
- Searches DuckDuckGo for company logos
- Downloads and processes images automatically
- Resizes and optimizes for your layouts
🎨 Browser Automation
- Uses Playwright to control your React app
- Programmatically loads layouts and injects content
- Exports high-quality thumbnails
🪟 Window API
- Your React app now exposes
window.thumbnailAPI - Allows programmatic control of canvas
- Methods for loading layouts, adding images, updating text, exporting
- Your React app now exposes
🤖 MCP Compatible
- Fully compatible with HuggingChat's MCP protocol
- Streaming JSON responses
- Comprehensive tool schemas
Files Created/Modified
New Files
- ✅
mcp_server_smart.py- Smart MCP server with logo fetching - ✅
tools.json- Updated tool definitions - ✅
requirements.txt- Updated with Playwright and image libraries - ✅
SMART_COLLABORATION_GUIDE.md- Complete user guide - ✅
IMPLEMENTATION_SUMMARY.md- This file
Modified Files
- ✅
src/App.tsx- Addedwindow.thumbnailAPIfor automation - ✅
README.md- Updated with smart collaboration features
Existing Files (for reference)
- 📄
main.py- Original simple MCP server (basic PIL-based generation) - 📄
main_browser.py- Browser automation prototype - 📄
Dockerfile- Will need updating for deployment - 📄
MCP_DEPLOYMENT_GUIDE.md- General MCP deployment guide
How It Works - The Complete Flow
┌─────────────────────────────────────────────────────────────┐
│ 1. User in HuggingChat │
│ "Create a collab thumbnail for HF and Nvidia" │
└──────────────────┬──────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ 2. HuggingChat MCP Client │
│ POST /tools │
│ { │
│ "name": "generate_collab_thumbnail", │
│ "arguments": { │
│ "partner_name": "Nvidia", │
│ "layout": "seriousCollab" │
│ } │
│ } │
└──────────────────┬──────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ 3. Python MCP Server (mcp_server_smart.py) │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ a) Search for "Nvidia logo PNG transparent" │ │
│ │ → DuckDuckGo Images API │ │
│ │ → Returns: https://nvidia.com/logo.png │ │
│ └─────────────────────────────────────────────────────┘ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ b) Download logo │ │
│ │ → requests.get(logo_url) │ │
│ │ → Process with Pillow (resize, transparency) │ │
│ │ → Convert to base64 data URI │ │
│ └─────────────────────────────────────────────────────┘ │
└──────────────────┬──────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ 4. Playwright Browser Automation │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ a) Launch headless Chromium │ │
│ │ → browser = await playwright.chromium.launch() │ │
│ └─────────────────────────────────────────────────────┘ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ b) Navigate to React app │ │
│ │ → page.goto('http://localhost:7860') │ │
│ │ → Wait for window.thumbnailAPI │ │
│ └─────────────────────────────────────────────────────┘ │
└──────────────────┬──────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ 5. React App Manipulation (window.thumbnailAPI) │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ page.evaluate(""" │ │
│ │ window.thumbnailAPI.loadLayout('seriousCollab') │ │
│ │ """) │ │
│ └─────────────────────────────────────────────────────┘ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ page.evaluate(""" │ │
│ │ window.thumbnailAPI.setBgColor('#ffffff') │ │
│ │ """) │ │
│ └─────────────────────────────────────────────────────┘ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ page.evaluate(""" │ │
│ │ window.thumbnailAPI.replaceLogoPlaceholder(...) │ │
│ │ """, logo_data_uri) │ │
│ └─────────────────────────────────────────────────────┘ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ const dataUrl = await page.evaluate(""" │ │
│ │ window.thumbnailAPI.exportCanvas() │ │
│ │ """) │ │
│ └─────────────────────────────────────────────────────┘ │
└──────────────────┬──────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ 6. Return to HuggingChat │
│ Streaming JSON response: │
│ { │
│ "output": true, │
│ "data": { │
│ "success": true, │
│ "image": "data:image/png;base64,...", │
│ "width": 1200, │
│ "height": 675, │
│ "partner_name": "Nvidia", │
│ "logo_fetched": true │
│ } │
│ } │
└─────────────────────────────────────────────────────────────┘
What Makes This Special?
1. Real Asset Usage
Unlike basic MCP servers that generate simple images with PIL, yours:
- ✅ Uses your actual React app
- ✅ Uses your pre-designed layouts
- ✅ Uses your Huggy mascots
- ✅ Uses your custom fonts
- ✅ Maintains your brand consistency
2. Intelligence
- ✅ Automatically searches for logos
- ✅ Processes and optimizes images
- ✅ Understands layout placeholders
- ✅ Returns professional results
3. Flexibility
- ✅ Works with any company name
- ✅ Supports custom logo URLs
- ✅ Multiple layout options
- ✅ Customizable colors and sizes
What You Can Do Now
In HuggingChat
"Create a collaboration thumbnail for Hugging Face and Microsoft"
"Generate a Fun Collab thumbnail for HF and Google"
"Make an Academia Hub collab thumbnail for HF and Stanford
with a light blue background"
Local Testing (Before Deployment)
# Terminal 1: Start React app
npm run dev
# Terminal 2: Install dependencies and run MCP server
pip install -r requirements.txt
playwright install chromium
python mcp_server_smart.py
# Terminal 3: Test it
curl -X POST http://localhost:7860/tools \
-H "Content-Type: application/json" \
-d '{
"name": "generate_collab_thumbnail",
"arguments": {
"partner_name": "OpenAI",
"layout": "seriousCollab"
}
}'
Next Steps to Deploy
1. Build React App
npm run build
# Creates dist/ folder
2. Update Dockerfile
# Use mcp_server_smart.py
COPY mcp_server_smart.py main.py
# Install Playwright
RUN playwright install chromium
RUN playwright install-deps chromium
3. Push to Hugging Face
git add -A
git commit -m "feat: Add smart collaboration thumbnail generation"
git push
4. Wait for Build (~10-15 min)
5. Test Live Endpoint
curl -X POST https://huggingface.co/spaces/YOUR-USERNAME/Thumbnail-Crafter.mini/tools \
-H "Content-Type: application/json" \
-d '{"name":"search_logo","arguments":{"company_name":"Nvidia"}}'
6. Register in HuggingChat
- Settings → MCP Servers
- Add your Space URL
- Enable it
7. Use It!
Ask HuggingChat to create collaboration thumbnails!
Architecture Diagram
┌─────────────────────────────────────────────────────────┐
│ Hugging Face Space (Docker Container) │
│ │
│ ┌───────────────────────────────────────────────────┐ │
│ │ FastAPI Server (port 7860) │ │
│ │ ┌────────────────────┐ ┌─────────────────────┐ │ │
│ │ │ /tools endpoint │ │ Logo Fetcher │ │ │
│ │ │ (MCP Protocol) │→ │ (DuckDuckGo) │ │ │
│ │ └────────────────────┘ └─────────────────────┘ │ │
│ │ ↓ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ Playwright Browser Automation │ │ │
│ │ │ • Chromium headless │ │ │
│ │ │ • Opens React app │ │ │
│ │ │ • Calls window.thumbnailAPI │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ └───────────────────────────────────────────────────┘ │
│ │
│ ┌───────────────────────────────────────────────────┐ │
│ │ React Frontend (static /dist) │ │
│ │ • Konva canvas rendering │ │
│ │ • window.thumbnailAPI exposed │ │
│ │ • All your layouts and assets │ │
│ └───────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
↑
│ HTTPS
│
┌──────┴───────┐
│ HuggingChat │
│ (MCP Client) │
└──────────────┘
Performance
Expected timings:
- Logo search: ~2-3 seconds
- Browser startup: ~1-2 seconds (warm instance: <1s)
- Layout loading: ~1 second
- Export: ~0.5 seconds
Total: ~5-8 seconds per thumbnail (warm) First request: ~10-12 seconds (cold start)
Limitations & Future Work
Current Limitations
- Only works with public logos (no authentication)
- Sequential processing (one thumbnail at a time)
- Logo quality depends on search results
- Only supports layouts with placeholders
Future Enhancements
- Logo caching for faster generation
- Multi-logo support (3-way collaborations)
- Batch processing
- Custom positioning API
- Template customization through MCP
- Video thumbnail support
Documentation
📖 User Guide: SMART_COLLABORATION_GUIDE.md 📖 Deployment: MCP_DEPLOYMENT_GUIDE.md 📖 README: README.md
Congratulations! 🎉
You now have one of the most advanced thumbnail generation tools in the HuggingChat ecosystem!
Your Space can: ✅ Search the web for logos ✅ Use real pre-designed layouts ✅ Generate professional thumbnails automatically ✅ Be called from AI assistants ✅ Work with any company name
This is exactly what you envisioned - an AI agent that can browse the internet, grab images, compose thumbnails using your Space's assets, and return the final result!
Questions? Review the guides or test locally first before deploying!